Add model and tokenizer files

config.json

@@ -1 +1,29 @@
-{"transformers_version": "5.6.2", "architectures": ["CamembertForMaskedLM"], "output_hidden_states": false, "return_dict": true, "dtype": "float32", "chunk_size_feed_forward": 0, "is_encoder_decoder": false, "id2label": {"0": "LABEL_0", "1": "LABEL_1"}, "label2id": {"LABEL_0": 0, "LABEL_1": 1}, "problem_type": null, "vocab_size": 32005, "hidden_size": 768, "num_hidden_layers": 12, "num_attention_heads": 12, "intermediate_size": 3072, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "attention_probs_dropout_prob": 0.1, "max_position_embeddings": 514, "type_vocab_size": 1, "initializer_range": 0.02, "layer_norm_eps": 1e-05, "pad_token_id": 1, "bos_token_id": 5, "eos_token_id": 6, "use_cache": true, "classifier_dropout": null, "is_decoder": false, "add_cross_attention": false, "tie_word_embeddings": true, "_name_or_path": "camembert-base", "model_type": "camembert", "output_past": true, "output_attentions": false}
+{
+  "add_cross_attention": false,
+  "architectures": [
+    "CamembertForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 5,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "eos_token_id": 6,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "is_decoder": false,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "camembert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.6.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 32005
+}